List of usage examples for org.apache.commons.math3.analysis UnivariateFunction interface-usage
From source file com.itemanalysis.psychometrics.polycor.PolychoricLogLikelihoodTwoStep.java
/**
* LogLikelihood and other methods needed for computing the two-step
* approximation of the polychoric correlation.
*
* @author J. Patrick Meyer <meyerjp at itemanalysis.com>
*/
From source file org.grouplens.samantha.modeler.featurizer.SelfPlusOneRatioFunction.java
public class SelfPlusOneRatioFunction implements UnivariateFunction { public double value(double val) { return val / (1.0 + abs(val)); } }
From source file com.colofabrix.mathparser.lib.Expression2AMLAdapter.java
/** * This class is used to interface with the Apache Math Library * * @author Fabrizio Colonna */ public class Expression2AMLAdapter implements UnivariateFunction {
From source file com.itemanalysis.psychometrics.kernel.LeastSquaresCrossValidation.java
/** * A class for computing the bandwidth by least squares cross validation kernel. This clas * is still in development. It needs more work and testing. Not ready for use. * **/ public class LeastSquaresCrossValidation implements Bandwidth, UnivariateFunction {
From source file com.google.cloud.genomics.dataflow.functions.verifybamid.LikelihoodFn.java
/**
* Implementation of the likelihood function in equation (2) in
* G. Jun, M. Flickinger, K. N. Hetrick, Kurt, J. M. Romm, K. F. Doheny,
* G. Abecasis, M. Boehnke,and H. M. Kang, Detecting and Estimating
* Contamination of Human DNA Samples in Sequencing and Array-Based Genotype
* Data, American journal of human genetics doi:10.1016/j.ajhg.2012.09.004
From source file com.google.cloud.genomics.dataflow.functions.LikelihoodFn.java
/**
* Implementation of the likelihood function in equation (2) in
* G. Jun, M. Flickinger, K. N. Hetrick, Kurt, J. M. Romm, K. F. Doheny,
* G. Abecasis, M. Boehnke,and H. M. Kang, Detecting and Estimating
* Contamination of Human DNA Samples in Sequencing and Array-Based Genotype
* Data, American journal of human genetics doi:10.1016/j.ajhg.2012.09.004
From source file de.bund.bfr.math.LinearFunction.java
public class LinearFunction implements UnivariateFunction { private final double[] abscissa; private final double[] ordinate; public LinearFunction(double[] x, double[] y) throws NullArgumentException, NoDataException,
From source file beast.evolution.coalescent.DemographicFunction.java
/**
* This interface provides methods that describe a demographic function.
*
* Parts of this class were derived from C++ code provided by Oliver Pybus.
*
* @version $Id: DemographicFunction.java,v 1.12 2005/05/24 20:25:55 rambaut Exp $
From source file edu.ucsf.valelab.saim.calculations.SaimFunction.java
/** * * @author nico */ public class SaimFunction implements UnivariateFunction, ParametricUnivariateFunction { protected SaimData sd_;
From source file com.itemanalysis.psychometrics.irt.equating.HaebaraMethod.java
public class HaebaraMethod extends AbstractMultivariateFunction implements LinearTransformation, Uncmin_methods, UnivariateFunction { private HashMap<String, ItemResponseModel> itemFormX = null; private HashMap<String, ItemResponseModel> itemFormY = null; private DistributionApproximation xDistribution = null;